998 search results - page 16 / 200 » Sparse Image Reconstruction using Sparse Priors |
150
Voted
ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...
140
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
143
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IPMI
2009
Springer
15 years 8 months ago
2009
Springer
Functional magnetic resonance imaging (fMRI) has become increasingly used for studying functional integration of the brain. However, the large inter-subject variability in function...
120
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ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
In this work, we propose algorithms to recursively and causally reconstruct a sequence of natural images from a reduced number of linear projection measurements taken in a domain ...
204
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...